Visiting Student
Scientific Computing and Imaging Institute, University of Utah
Research in machine learning and computer vision, with emphasis on continual learning systems, under Dr. Gianfranco Doretto.
Machine learning researcher
Seyed Rasoul Hosseini
I study how learning systems adapt to changing data while preserving useful knowledge.
My work focuses on online multimodal continual learning, self-supervised learning, and computer vision.
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PhD StudentWest Virginia University
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Visiting StudentSCI Institute, University of Utah
Based at the University of Utah SCI Institute
About
Learning from a world that does not stand still
I am a PhD student in Electrical Engineering at West Virginia University, advised by Dr. Gianfranco Doretto, and a visiting student at the Scientific Computing and Imaging Institute at the University of Utah.
My research explores continual and self-supervised learning for visual and multimodal systems. I am interested in models that can learn online, respond to distribution shifts, and retain knowledge over time.
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Continual Learning
Online adaptation under changing data distributions.
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Multimodal Learning
Representations that connect visual and textual signals.
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Computer Vision
Visual recognition, representation learning, and robust perception.
Experience and education
Academic path
A research path spanning control, computer vision, and continual learning.
PhD Student and Graduate Research Assistant
West Virginia University
Electrical Engineering. Advisor: Dr. Gianfranco Doretto.
Researcher
Intelligent Systems Laboratory, K. N. Toosi University of Technology
Research on deep-learning methods for lane detection and related computer vision problems.
MSc in Electrical Engineering, Control
K. N. Toosi University of Technology
Thesis on lane detection for autonomous vehicles using image processing and deep learning.
BSc in Electrical Engineering, Control
Shahid Bahonar University of Kerman
Thesis on PLC-based simulation of a mineral water production line.
Publications
Publications
A concise list of peer-reviewed work and current preprints.
View Google Scholar-
WaFusion: A Wavelet-Enhanced Diffusion Framework for Face Morph Generation
Seyed Rasoul Hosseini, Omid Ahmadieh, Jeremy Dawson, Nasser Nasrabadi
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Deep Reinforcement Learning with Enhanced PPO for Safe Mobile Robot Navigation
Hamid Taheri, Seyed Rasoul Hosseini, Mohammad Ali Nekoui
International Journal of Intelligent Machines and Robotics, forthcoming
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Boosting Unconstrained Face Recognition with Targeted Style Adversary
Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Seyed Rasoul Hosseini, Nasser M. Nasrabadi
IEEE IJCB · arXiv
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COVID-19 Detection Based on Blood Test Parameters Using Various Artificial Intelligence Methods
Kavian Khanjani, Seyed Rasoul Hosseini, Hamid Taheri, Shahrzad Shashaani, Mohammad Teshnehlab
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ENet-21: An Optimized Light CNN Structure for Lane Detection
Seyed Rasoul Hosseini, Hamid Taheri, Mohammad Teshnehlab
Academic service
Reviewing
Conference and journal service in computer vision, machine learning, and medical imaging.
Invited Reviewer
- CVIU
Subreviewer
- ICLR
- AAAI
- CVPR
- MICCAI
- BMVC
- ACCV
Invited Reviewer
- ISVC
Subreviewer
- ICCV
- AAAI
- WACV
Invited Reviewer
- IJCB
Contact
Let us talk research
I welcome conversations about continual learning, computer vision, and research collaboration.
Email mePersonal
rasoul.hosseini7@gmail.comWest Virginia University
sh00111@mix.wvu.eduUniversity of Utah
s.hosseini@utah.edu